Processing And Managing Complex Data For Decision Support
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Processing and Managing Complex Data for Decision Support by Darmont, Jrme,Boussaid, Omar Pdf
"This book provides an overall view of the emerging field of complex data processing, highlighting the similarities between the different data, issues and approaches"--Provided by publisher.
Decision support systems (DSS) have evolved over the past four decades from theoretical concepts into real world computerized applications. DSS architecture contains three key components: knowledge base, computerized model, and user interface. DSS simulate cognitive decision-making functions of humans based on artificial intelligence methodologies (including expert systems, data mining, machine learning, connectionism, logistical reasoning, etc.) in order to perform decision support functions. The applications of DSS cover many domains, ranging from aviation monitoring, transportation safety, clinical diagnosis, weather forecast, business management to internet search strategy. By combining knowledge bases with inference rules, DSS are able to provide suggestions to end users to improve decisions and outcomes. This book is written as a textbook so that it can be used in formal courses examining decision support systems. It may be used by both undergraduate and graduate students from diverse computer-related fields. It will also be of value to established professionals as a text for self-study or for reference.
Decision Control, Management, and Support in Adaptive and Complex Systems: Quantitative Models by Pavlov, Yuri P. Pdf
In order to ensure the criteria for monitoring and managing the various problems and design for decision control, a mathematical description of exact human knowledge is required for the management of adaptive and complex systems. Decision Control, Management, and Support in Adaptive and Complex Systems: Quantitative Models presents an application and demonstration of a new mathematical technique for descriptions of complex systems. This comprehensive collection contains scientific results in the field of contemporary approaches to adaptive decision making that is essential for researchers, scholars, and students alike.
Advances in Complex Decision Making by Walayat Hussain,Honghao Gao,Fethi Rabhi,Luis Martínez Pdf
The rapidly evolving business and technology landscape demands sophisticated decision-making tools to stay ahead of the curve. Advances in Complex Decision Making: Using Machine Learning and Tools for Service-Oriented Computing is a cutting-edge technical guide exploring the latest decision-making technology advancements. This book provides a comprehensive overview of machine learning algorithms and examines their applications in complex decision-making systems in a service-oriented framework. The authors also delve into service-oriented computing and how it can be used to build complex systems that support decision making. Many real-world examples are discussed in this book to provide a practical insight into how discussed techniques can be applied in various domains, including distributed computing, cloud computing, IoT and other online platforms. For researchers, students, data scientists and technical practitioners, this book offers a deep dive into the current developments of machine learning algorithms and their applications in service-oriented computing. This book discusses various topics, including Fuzzy Decisions, ELICIT, OWA aggregation, Directed Acyclic Graph, RNN, LSTM, GRU, Type-2 Fuzzy Decision, Evidential Reasoning algorithm and robust optimisation algorithms. This book is essential for anyone interested in the intersection of machine learning and service computing in complex decision-making systems.
Decision Support and Data Warehouse Systems by Efrem Mallach Pdf
Ties the traditional view of decision support to the rapidly evolving topics of database management and data warehouse. This book aims to provide a foundation for the use of models within the context of building and using decision support systems, and focuses on multi-dimensional databases and client/server computing.
Use the latest data mining best practices to enable timely, actionable, evidence-based decision making throughout your organization! Real-World Data Mining demystifies current best practices, showing how to use data mining to uncover hidden patterns and correlations, and leverage these to improve all aspects of business performance. Drawing on extensive experience as a researcher, practitioner, and instructor, Dr. Dursun Delen delivers an optimal balance of concepts, techniques and applications. Without compromising either simplicity or clarity, he provides enough technical depth to help readers truly understand how data mining technologies work. Coverage includes: processes, methods, techniques, tools, and metrics; the role and management of data; text and web mining; sentiment analysis; and Big Data integration. Throughout, Delen's conceptual coverage is complemented with application case studies (examples of both successes and failures), as well as simple, hands-on tutorials. Real-World Data Mining will be valuable to professionals on analytics teams; professionals seeking certification in the field; and undergraduate or graduate students in any analytics program: concentrations, certificate-based, or degree-based.
Information Systems and Decision Support Systems by Ioannis Panges Pdf
Seminar paper from the year 2016 in the subject Computer Science - Miscellaneous, , language: English, abstract: Information Systems are developed to help users to achieve their goals. If we look at the international level, the introduction of information technology and general information systems in everyday life, we will see that this admission has been made successfull by-producing the expected results in countries characterized by good organization of public life other, individual systems, banking system, health system, are well organized and staffed. On the other hand, Decision Support Systems represent a combined approach of decision making from the Administration area with tools and IT techniques. A widely accepted definition describes the DSS as computer software which accepts as input data a large number of events and methods to convert comparisons, graphs and directions in some sense, that facilitate and expand the capabilities of what takes decisions.
Decision Support, Analytics, and Business Intelligence, Third Edition by Daniel J. Power,Ciara Heavin Pdf
Rapid technology change is impacting organizations large and small. Mobile and Cloud computing, the Internet of Things (IoT), and “Big Data” are driving forces in organizational digital transformation. Decision support and analytics are available to many people in a business or organization. Business professionals need to learn about and understand computerized decision support for organizations to succeed. This text is targeted to busy managers and students who need to grasp the basics of computerized decision support, including: What is analytics? What is a decision support system? What is “Big Data”? What are “Big Data” business use cases? Overall, it addresses 61 fundamental questions. In a short period of time, readers can “get up to speed” on decision support, analytics, and business intelligence. The book then provides a quick reference to important recurring questions.
New Directions in Web Data Management 1 by Athena Vakali,Lakhmi C. Jain Pdf
This book addresses the major issues in the Web data management related to technologies and infrastructures, methodologies and techniques as well as applications and implementations. Emphasis is placed on Web engineering and technologies, Web graph managing, searching and querying and the importance of social Web.
For MIS specialists and nonspecialists alike, a comprehensive, readable, understandable guide to the concepts and applications of decision support systems.
Information Quality and Governance for Business Intelligence by Yeoh, William Pdf
Business intelligence initiatives have been dominating the technology priority list of many organizations. However, the lack of effective information quality and governance strategies and policies has been meeting these initiatives with some challenges. Information Quality and Governance for Business Intelligence presents the latest exchange of academic research on all aspects of practicing and managing information using a multidisciplinary approach that examines its quality for organizational growth. This book is an essential reference tool for researchers, practitioners, and university students specializing in business intelligence, information quality, and information systems.
Advances in Databases and Information Systems by Barbara Catania,Mirjana Ivanovic,Bernhard Thalheim Pdf
This volume contains the best papers presented at the 14th East-European C- ference on Advances in Databases and Information Systems (ADBIS 2010), held during September 20-24, 2010, in Novi Sad, Serbia. ADBIS 2010 continued the ADBIS series held in St. Petersburg (1997), Poznan (1998), Maribor (1999), Prague (2000), Vilnius (2001), Bratislava (2002), Dresden (2003), Budapest (2004), Tallinn (2005), Thessaloniki (2006), Varna (2007), Pori (2008), and Riga (2009). The main objective of the ADBIS series of conferences is to provide a forum for the dissemination of research acc- plishments and to promote interaction and collaboration between the database and information systems research communities from Central and East European countries and the rest of the world. The ADBIS conferences provide an inter- tional platform for the presentation of research on database theory, development of advanced DBMS technologies, and their advanced applications. ADBIS 2010 spans a wide area of interests, covering all major aspects related to theory and applications of database technology and information systems. Two di?erent submission lines were considered for ADBIS 2010, one within the classic track and another one within a special track organisation. ADBIS comprised ?ve tracks: 1. Conceptual Modeling in Systems Engineering (CMSE) 2. Data Mining and Information Extraction (DMIE) 3. Business Processes in E-Commerce Systems (e-commerce) 4. Personal Identi?able Information: Privacy, Ethics, and Security (PIIPES) 5.
Exploring Intelligent Decision Support Systems by Rafael Valencia-García,Mario Andrés Paredes-Valverde,María del Pilar Salas-Zárate,Giner Alor-Hernández Pdf
This book presents innovative and high-quality research regarding advanced decision support systems (DSSs). It describes the foundations, methods, methodologies, models, tools, and techniques for designing, developing, implementing and evaluating advanced DSSs in different fields, including finance, health, emergency management, industry and pollution control. Decision support systems employ artificial intelligence methods to heuristically address problems that are cannot be solved using formal techniques. In this context, technologies such as the Semantic Web, linked data, big data, and machine learning are being applied to provide integrated support for individuals and organizations to make more rational decisions. The book is organized into two parts. The first part covers decision support systems for industry, while the second part presents case studies related to clinical emergency management and pollution control.
Evolving Application Domains of Data Warehousing and Mining: Trends and Solutions by Furtado, Pedro Nuno San-Banto Pdf
"This book provides insight into the latest findings concerning data warehousing, data mining, and their applications in everyday human activities"--Provided by publisher.
